Data Engineer

Welcome!

Our Growth is Creating Great Opportunities!

Our team is expanding, and we want to hire the most talented people we can.Continued success depends on it!Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you!

Thanks for your interest in working on our team!

We are seeking an experienced Data Warehouse Developer / Data Engineer to help design, build, and evolve our enterprise data platform. This position will develop scalable data pipelines, data models, and reusable data products that transform data from across the company into reliable foundations for reporting, advanced analytics, and artificial intelligence.

Working within our modern data and AI environment, the Data Warehouse Developer / Data Engineer will combine strong data engineering practices with emerging AI capabilities to solve complex data challenges, improve how data is delivered and consumed, and help accelerate the company’s transformation into a more data and AI-driven organization.

The candidate should be a self-driven and detail-oriented professional with strong analytical thinking, excellent communication skills, and the ability to translate business requirements into scalable technical solutions.

Duties and Responsibilities

• Design, develop, optimize, and maintain enterprise-grade data warehouse solutions and data pipelines

• Build scalable ELT/ETL processes for integrating data from various enterprise applications and source systems

• Design and maintain reusable data products that support reporting, advanced analytics, AI, and machine-learning solutions

• Ensure high standards for data quality, performance, maintainability, scalability, and reliability

• Partner with enterprise architects, data architects, business analysts, data analysts, AI teams, and business stakeholders to deliver enterprise data solutions

• Collaborate with business stakeholders and application teams to understand business processes, system landscapes, and data requirements

• Support data architecture decisions and contribute to overall data platform design and best practices

• Analyze and troubleshoot data integration and performance issues across the data platform

• Participate in requirements gathering, technical design discussions, testing, deployment, and operational support activities

• Create and maintain technical documentation related to data models, interfaces, and transformation logic

• Contribute to continuous improvement initiatives around data engineering standards, automation, and development processes

Basic Qualifications

• Bachelor's Degree or equivalent experience required

• 4+ years of professional experience with modern enterprise data platforms, or related fields

• Strong hands-on experience with either:

• Snowflake, or

• Microsoft SQL Server-based Data Warehouse environments

• Strong SQL development skills and experience optimizing complex queries and transformations

• Solid experience in enterprise data modelling (dimensional and/or relational modelling)

• Experience developing and maintaining ETL/ELT pipelines and integrating data from multiple business applications

• Good understanding of enterprise business processes and the ability to work in a consulting-oriented environment with business stakeholders

• Experience translating business requirements into technical data solutions.

• Strong analytical, problem-solving, and troubleshooting skills

• Excellent communication skills and ability to collaborate across technical and non-technical teams

• Ability to work independently and manage multiple priorities in a dynamic environment

Preferred Qualifications

• Experience with SAP ECC or Salesforce

• Experience with Python for data processing

• Experience with cloud-based data platforms and modern data engineering concepts

• Experience with front-end analytics and visualization tools such as:

• Qlik

• Tableau

• Experience with data orchestration and scheduling tools

• Exposure to modern analytics engineering practices and CI/CD processes for data platforms

• Experience working in international or cross-functional project environments

• Experience in utilizing AI technologies in displaying business data results